MonkeyLearn

A no‑code AI text analysis platform for classification, sentiment detection, and data extraction.

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MonkeyLearn Product Information

MonkeyLearn is a cloud‑based machine learning platform focused on text analysis. It offers both pre‑trained and user‑trained classification (e.g. sentiment, topic) and extraction (e.g. entities, keywords) models. Users can upload data via CSV, Excel, or Google Sheets, or connect via API, and integrate with tools like Zapier and Google Sheets. No coding required.

MonkeyLearn's Core Features

Pre‑built classifiers and extractors

Custom model training without coding

Sentiment analysis, topic detection, entity/keyword extraction

Google Sheets extension and Zapier integrations

APIs and SDKs (Python, JavaScript, Ruby, PHP, Java)

How to Use MonkeyLearn

#1

Sign up for an account

#2

Choose a pre‑trained classifier or extractor or build a custom model

#3

Upload or connect your text dataset (CSV, Excel, Google Sheets, API)

#4

Train or test the model via the web interface

#5

Review output: labeled text or extracted data

#6

Integrate results via API, Zapier, Sheets add‑on or download

Pricing

Free tier available; paid plans for higher volume, custom models and enterprise features.

Frequently Asked Questions

Can I train my own model without coding?

Yes, MonkeyLearn provides a GUI to train custom classifiers or extractors without coding.

What file formats are supported?

Supports CSV, Excel, Google Sheets, or API input.

Is there an API?

Yes — MonkeyLearn offers REST API and SDKs in Python, Ruby, Node, Java, and PHP.

What integrations are available?

Integrates with Zapier, Google Sheets add‑on, RapidMiner, and other tools.

What kinds of models are available?

There are two main types: classification models (e.g. sentiment/topic) and extraction models (e.g. keywords/entities).

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